Construction and verification of machine vision algorithm model based on apple leaf disease images [PDF]
Frontiers in Plant Science, 2023 Apple leaf diseases without timely control will affect fruit quality and yield, intelligent detection of apple leaf diseases was especially important.
Gao Ang +9 more
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Apple-Net: A Model Based on Improved YOLOv5 to Detect the Apple Leaf Diseases [PDF]
Plants, 2022 Effective identification of apple leaf diseases can reduce pesticide spraying and improve apple fruit yield, which is significant to agriculture. However, the existing apple leaf disease detection models lack consideration of disease diversity and ...
Ruilin Zhu +3 more
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Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network [PDF]
Sensors, 2020 Scab, frogeye spot, and cedar rust are three common types of apple leaf diseases, and the rapid diagnosis and accurate identification of them play an important role in the development of apple production. In this work, an improved model based on VGG16 is
Qian Yan +5 more
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YOLOV5-CBAM-C3TR: an optimized model based on transformer module and attention mechanism for apple leaf disease detection [PDF]
Frontiers in Plant Science, 2023 Apple trees face various challenges during cultivation. Apple leaves, as the key part of the apple tree for photosynthesis, occupy most of the area of the tree.
Meng Lv, Wen-Hao Su
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Apple Leaf Disease Identification in Complex Background Based on BAM-Net
Agronomy, 2023 Apples are susceptible to infection by various pathogens during growth, which induces various leaf diseases and thus affects apple quality and yield. The timely and accurate identification of apple leaf diseases is essential to ensure the high-quality ...
Yuxi Gao +5 more
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Dilated convolution capsule network for apple leaf disease identification [PDF]
Frontiers in Plant Science, 2022 Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases. However, it is challenging to identify apple leaf diseases due to their various symptoms, different colors, irregular shapes, uneven sizes ...
Cong Xu, Xuqi Wang, Shanwen Zhang
doaj +2 more sources
IEEE Access, 2019 Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple leaf diseases that severely affect apple yield. However, the existing research lacks an accurate and fast detector of apple diseases for ensuring the healthy ...
Peng Jiang +4 more
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Apple Leaf Diseases Detection Model Based on Improved Faster R_CNN [PDF]
Jisuanji gongcheng, 2021 In practice,it is difficult to detect apple leaf diseases in real time due to the complex background of apple leaf disease images and the small disease spots.To address the problem,an improved Faster R_CNN model is proposed for apple leaf disease ...
LI Xinran, LI Shuqin, LIU Bin
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An Improved Lightweight Network for Real-Time Detection of Apple Leaf Diseases in Natural Scenes
Agronomy, 2022 Achieving rapid and accurate detection of apple leaf diseases in the natural environment is essential for the growth of apple plants and the development of the apple industry.
Sha Liu +5 more
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Identification and pathogenicity of Alternaria species associated with leaf blotch disease and premature defoliation in French apple orchards [PDF]
PeerJ, 2021 Leaf blotch caused by Alternaria spp. is a common disease in apple-producing regions. The disease is usually associated with one phylogenetic species and one species complex, Alternaria alternata and the Alternaria arborescens species complex (A ...
Kévin Fontaine +11 more
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